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Computational Learning Theory by M. H. G. Anthony (London School of Economics and Political Science) at Abbey's Bookshop,
Computational Learning Theory
— —
M. H. G. Anthony (London School of Economics and Political Science) N. Biggs (London School of Economics and Political Science)

Computational Learning Theory

M. H. G. Anthony (London School of Economics and Political Science),  N. Biggs (London School of Economics and Political Science)

$76.95

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English
Cambridge University Press
28 April 1997
Machine learning
Series: Cambridge Tracts in Theoretical Computer Science
Computational learning theory is a subject which has been advancing rapidly in the last few years. The authors concentrate on the probably approximately correct model of learning, and gradually develop the ideas of efficiency considerations. Finally, applications of the theory to artificial neural networks are considered. Many exercises are included throughout, and the list of references is extensive. This volume is relatively self contained as the necessary background material from logic, probability and complexity theory is included. It will therefore form an introduction to the theory of computational learning, suitable for a broad spectrum of graduate students from theoretical computer science and mathematics.
By:   ,
Imprint:   Cambridge University Press
Country of Publication:   United Kingdom
Volume:   30
Dimensions:   Height: 244mm,  Width: 170mm,  Spine: 9mm
Weight:   290g
ISBN:   9780521599221
ISBN 10:   0521599229
Series:   Cambridge Tracts in Theoretical Computer Science
Pages:   172
Publication Date:  
Audience:   Professional and scholarly ,  Undergraduate
Format:   Paperback
Publisher's Status:   Active

Reviews for Computational Learning Theory

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